Jobs in the United States

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Added 1 min ago
Cybersecurity Solutions Architect/Engineer (AI/ML)
NikSoft Systems Corp.
United States
Applicant must be an expert with data science and AI/ML concepts used for fraud detection.
Added 2 mins ago
Client Director, Cloud & Strategic AI
Arista Networks
San Jose, CA
Working technical fluency in data center fabrics: leaf-spine and AI back-end networks, BGP/EVPN, 400G/800G Ethernet, RoCE and congestion management, DCI, and optics. You can hold your own…
Added 2 mins ago
Technical Operations Engineer, Mission Config
Anduril Industries
Costa Mesa, CA
…OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is…
Added 4 mins ago
Senior Software Engineer
Exact Sciences Corp
United States
The Senior Software Engineer is a hands-on builder within the product-led Software Engineering team in Abbott’s cancer diagnostics division, focused on Digital Engineering and Integrations.…
Added 7 mins ago
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Senior Scientist II / Principal Research Scientist I - Analytical R&D
AbbVie
North Chicago, IL
- $124,500 to $236,500 USD / year
For the Principal Research Scientist I position, we are seeking a highly motivated and experienced data scientist to provide scientific and technical leadership for analytical data science,…
Added 8 mins ago
IG
Data Engineer
Insight Global
Remote, United States
- $81,120 to $120,000 USD / year
We are seeking an experienced Data Engineer to build and support data pipelines that move operational and clinical data into data warehouses and data marts. This role supports healthcare…
Added 9 mins ago
Data Engineer (BigQuery)
Northramp LLC
Washington, DC · Reston, VA · Bethesda, MD
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 10 mins ago
Associate Software Engineer
Carnegie Mellon University
Pittsburgh, PA
…deployment. Our team of software engineers, researchers, and data scientists designs and optimizes intelligent edge systems for operation in resource-constrained edge environments where…
Added 10 mins ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Added 10 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting…
Added 11 mins ago
Senior Infrastructure Engineer, AI & ML, Penguin Random House (Open to Remote)
Apply now!
NY
The Data Science team at Penguin Random House builds recommendation systems, forecasting models, and AI-powered tools that shape how readers discover books across our platforms. Our team of…
Added 13 mins ago
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AWS Databricks Engineer
Credence
McLean, VA
- $155,000 to $185,000 USD / year
Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing,…
Added 14 mins ago
Senior Forward Deployed Engineer (FDE Lead)
Syncreon Consulting
Pittsburgh, PA
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience); advanced degree preferred.
Added 14 mins ago
Senior Director, Decision Intelligence & Data Products
Caliber Holdings LLC
Lewisville, TX
Education: Bachelor’s degree in computer science, data engineering, information systems, or a related field; a master’s degree is a plus.
Added 15 mins ago
Senior Engineer, Unified Communications & Collaboration
ACE American Insurance Company
Jersey City, NJ · Philadelphia, PA
We are seeking a Senior Engineer to join our Global Unified Communications and Collaboration (UCC) chapter, where you will help shape the platforms and integrations that power how Chubb’s…
Added 15 mins ago
Research Software Engineer
Dartmouth College
NH
The Research Software Engineer at the Center for Open Neuroscience (CON) helps build infrastructure that makes neuroscience data FAIR, open, and reproducible, working on open-source…
Added 18 mins ago
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Software Engineer Intern
PatientPoint - Invite Only
Remote, United States
- $23 to $25 USD / hour
We're looking for a passionate Software Engineer Intern who is eager to learn, grow, and make a real impact on how patients and providers get the right health content. This is a remote…
Added 18 mins ago
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Senior Infrastructure Engineer, AI & ML, Penguin Random House (Open to Remote)
Bertelsmann-Jobs
Remote, United States
- $185,000 to $210,000 USD / year
The Data Science team at Penguin Random House builds recommendation systems, forecasting models, and AI-powered tools that shape how readers discover books across our platforms. Our team of…
Added 20 mins ago
Sr Frontend Engineer (AI Experiences), Retail and Marcom Engineering
Apple
Sunnyvale, CA
We are hiring a Senior Frontend Engineer to build the AI-powered tools our marketing and creative teams use every day, and the AI foundations that change how our engineers ship. You will…
Added 21 mins ago
Staff System Test Automation Engineer, AI
Sonatus
Detroit, MI
Sonatus is looking for an experienced Staff System Test Engineer with deep expertise in AI testing to lead quality efforts across AI-driven embedded and cloud-connected systems. This role…
Added 22 mins ago
Associate Software Engineer
Priceline.com LLC
NY
…travel applications. We constantly explore new technologies and engineer better solutions for ever demanding user…
Added 22 mins ago
iOS Engineer, Flights Search
Priceline.com LLC
NY
Strong computer science fundamentals, including object-oriented and functional programming, data structures, unit testing (XCTest/Swift Testing), performance profiling (Instruments), and…
Added 23 mins ago
Lead Substation Engineer 1 - Grid
Sargent & Lundy
United States
This position will offer you the ability to directly apply your knowledge of protective relaying and controls systems for HV and EHV substations. As a Lead Substation Engineer, you will:
Added 27 mins ago
Mid/Senior Full Stack Software Engineer – .NET, FinTech & AI Development
Innovest Systems LLC
Jacksonville, FL · NY · Dallas, TX
We are seeking an experienced Mid-to-Senior Full Stack Software Engineer to join our Trust Application Development team. This position will contribute to the ongoing development,…
Added 30 mins ago
Jr. Software Engineer
NBC Universal
Universal City, CA
…infringements on websites, apps and protocols, and (4) analyzing data to measure and understand the drivers of unlicensed video consumption on the…

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

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Job details

Experience: 8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Posting language: English
Posted: Nov 5, 2026

Original job description

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Job Type

Full-time

Description

NOTE: This opportunity is full-time employment position only (no 1099 or C2C engagements, or third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen). This is a remote opportunity; candidate must be based in the U.S.; preference given to candidates in the Washington DC, Maryland, Virginia (DMV) area; ET zone work schedule.

Daily Responsibilities

Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs.
Serve as the primary technical authority, defining AI and application architecture across multiple programs.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable ML systems and services built on Python-based frameworks and APIs.
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns.
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Oversee full ML lifecycle in partnership with the senior data scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring.
Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost.
Establish robust MLOps practices leveraging Python-driven automation, pipelines, and tooling.
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems.
Serve as SME in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179).
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety.
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements.
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including Python-based refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines, CI/CD automation, zero-trust architectures, and secure software supply chain practices.
Ensure delivery of resilient, high-availability systems in regulated federal environments.
Lead multiple concurrent engineering efforts across integrated teams.
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing Python coding standards and engineering best practices.
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality.
Support technical strategy in proposals, captures, and client engagements.
Contribute to thought leadership (whitepapers, architecture patterns, platform strategy).
Executive communication skills with experience influencing senior leaders.

Requirements

Must of a U.S. Citizen.as mandated by our government client.
Must be able to complete/pass/hold at a minimum a Public Trust Investigation / background check. An active clearance (e.g. Public Trust, Secret, or higher) is preferred.
Must be based / reside in the U.S.
12+ years of software engineering experience combining senior technical leadership, hands-on expertise in Python-based AI/ML systems (including large language models), and ownership of enterprise architecture, governance, and innovation.
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Expert-level Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures.
Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod).
Full-stack engineering skills, including front-end frameworks, back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments and designing AI systems in cloud-native, distributed environments.
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering.
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents).
Proven success delivering enterprise-scale systems and modernization programs.
Strong background in microservices, APIs, distributed systems, and DevSecOps practices.
Experience managing GPU-based infrastructure or high-performance ML environments.
Demonstrated ability to translate AI research into production system.
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures.
Strong understanding of large-scale data systems and ML evaluation methodologies.
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention.
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases.
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini.
Demonstrated ability to own solutions end to end - from discovery and prototyping through production deployment, integration, and ongoing support.
Ability to balance strategic vision with deep hands-on technical execution.
Excellent analytical skills, attention to detail, and strong problem-solving abilities.
Excellent communication and collaboration skills to communicate complex analytical insights to executive and non-technical stakeholders. Ability to translate ambiguous business questions into analytical solutions.
Experience with federal civilian agencies preferred.
BS or MS degree (preferred) in engineering, data science, computer science, statistics or related field.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. $155k to $175k.

Salary Description

$155k - $175k

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More about this job

Skills

Regulatory compliance
Decision making
Risk management
Python
ML
CI/CD
Microservices
Supply chain management
Leadership
Communication skills
PyTorch
TensorFlow
API development
Kubernetes
Microsoft Azure
AWS
Google Cloud
Machine learning
Deep learning
LangChain
Research
CMS
Loss prevention
Data engineering
SQL
NoSQL
Analytical skills
Attention to detail
Problem solving
Collaboration
Computer science
Statistics

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